ISIS Neutron and Muon Source Data Journal

Assessing a potential method to form kinetically trapped, self-assembling nanotubes

Abstract: Cyclic peptide-polymer conjugates can readily self-assembly into long nanotubes, and are being extensively studied for drug delivery applications. Recently, using SANS and fluorescence techniques we were able to show the dynamic nature of the self-assembly process. As such, our research focus has shifted to make kinetically trapped systems. This has been achieved using hydrophobic/hydrophilic diblock co-polymers, and characterized using XPRESS SANS time and light scattering. In the proposed experiment, we will look at different structural parameters and preparation methods to hone in on the ideal parameters needed to make tubes of a controlled length. Controlling the assembly and size of the nanotubes is of great importance, given the range in biomedical applications for these novel systems.

Principal Investigator: Professor Sebastien Perrier
Experimenter: Dr Ed Mansfield
Experimenter: Dr Qiao Song
Local Contact: Dr Robert Dalgliesh
Experimenter: Ms Julia Rho
Experimenter: Dr Stephen Hall
Experimenter: Miss Maria Kariuki

DOI: 10.5286/ISIS.E.RB1820150

ISIS Experiment Number: RB1820150

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Sebastien Perrier et al; (2019): Assessing a potential method to form kinetically trapped, self-assembling nanotubes, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820150

Data is released under the CC-BY-4.0 license.